Uncoordinated charging load of electric vehicles (EVs) increases the peak load of the power grid, thereby increasing the cost of electricity generation. The valley-filling charging scenario offers a cheaper alternative. This study proposes a novel decentralized valley-filling charging strategy, in which a day-ahead pricing scheme is designed by solving a minimum-cost optimization problem. The pricing scheme can be broadcasted to EV owners, and the individual charging behaviors can be indirectly coordinated. EV owners respond to the pricing scheme by autonomously optimizing their individual charge patterns. This device-level response induces a valley-filling effect in the grid at the system level. The proposed strategy offers three advantages: coordination (by the valley-filling effect), practicality (no requirement for a bidirectional communication/control network between the grid and EV owners), and autonomy (user control of EV charge patterns). The proposed strategy is validated in simulations of typical scenarios in Beijing, China. According to the results, the strategy (1) effectively achieves the valley-filling charging effect at 28% less generation cost than the uncoordinated charging strategy, (2) is robust to several potential affecters of the valley-filling effect, such as (system-level) inaccurate parameter estimation and (device-level) response capability and willingness (which cause less than 2% deviation in the minimal generation cost), and (3) is compatible with device-level multi-objective charging optimization algorithms.


    Access

    Access via TIB

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Optimal decentralized valley-filling charging strategy for electric vehicles


    Contributors:
    Zhang, Kangkang (author) / Xu, Liangfei (author) / Ouyang, Minggao (author) / Wang, Hewu (author) / Lu, Languang (author) / Li, Jianqiu (author) / Li, Zhe (author)

    Published in:

    Publication date :

    2014


    Size :

    14 Seiten, 30 Quellen




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English




    Decentralized optimal control strategy for parallel hybrid electric vehicles

    Frenkel,A. / Bruns,R. / Univ.Hamburg,DE | Automotive engineering | 2010


    Optimal Charging Navigation Strategy for Electric Vehicles

    Guo, Xu / Liu, Jiaoyu / Fan, Hao | IEEE | 2016


    Decentralized optimal control strategy for parallel hybrid electric vehicles

    Frenkel, Alexander / Bruns, Rainer | Tema Archive | 2010


    Decentralized Optimal Control Strategy for Parallel Hybrid Electric Vehicles

    Frenkel, A. / Bruns, R. / VDI-Gesellschaft Werkstofftechnik | British Library Conference Proceedings | 2010


    DECENTRALIZED POWER SYSTEM AND CHARGING STATIONS FOR ELECTRIC VEHICLES

    WIEGHARDT JAN / SEYDENSCHWANZ MARTIN / HELD HARALD et al. | European Patent Office | 2024

    Free access